Parisis Gallos
- Infectious Diseases
- General Health Professions top 10%
- Organizational Behavior and Human Resource Management top 10%
- Neurology
- Clinical Psychology
- Co-authors
- Petros GalanisAglaia KatsiroumpaIoannis MoisoglouAlice G. VassiliouΑnastasia KotanidouIoanna DimopoulouEdison JahajStylianos E. Orfanos
- Topics
- Mobile Health and mHealth Applications (9 papers)COVID-19 Clinical Research Studies (8 papers)Technology Adoption and User Behaviour (8 papers)
- Cited by
- Research and TheoryOrganizational Behavior and Human Resource ManagementInfectious Diseases
- Journals
- SHILAP Revista de lepidopterologíaAnnals of Emergency MedicineCells
- Partner nations
- GreeceSpainUnited Kingdom
In The Last Decade
Parisis Gallos
68 papers receiving 457 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Infectious Diseases 106
- General Health Professions 101
- Organizational Behavior and Human Resource Management 71
- Neurology 70
- Clinical Psychology 48
Countries citing papers authored by Parisis Gallos
This map shows the geographic impact of Parisis Gallos's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Parisis Gallos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parisis Gallos more than expected).
Fields of papers citing papers by Parisis Gallos
This network shows the impact of papers produced by Parisis Gallos. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Parisis Gallos. The network helps show where Parisis Gallos may publish in the future.
Co-authorship network of co-authors of Parisis Gallos
This figure shows the co-authorship network connecting the top 25 collaborators of Parisis Gallos. A scholar is included among the top collaborators of Parisis Gallos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Parisis Gallos. Parisis Gallos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 76 | |
| 14 | 29 | |
| 15 | 15 | |
| 16 | 3 | |
| 17 | 20 | |
| 18 | 1 | |
| 19 | The "SMART Travel Health" Mobile Application Assessment. | 2 |
| 20 | A "Smart" m-health Application for Travelers: The Public's Opinion. | 4 |
About Parisis Gallos
Parisis Gallos is a scholar working on Information Systems and Management, Research and Theory and Health Information Management, having authored 75 papers that have together received 467 indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (9 papers), COVID-19 Clinical Research Studies (8 papers) and Technology Adoption and User Behaviour (8 papers). The work is most often cited by research in Research and Theory (8 citations), Organizational Behavior and Human Resource Management (71 citations) and Infectious Diseases (106 citations). Parisis Gallos has collaborated with scholars based in Greece, Spain and United Kingdom. Frequent co-authors include Petros Galanis, Aglaia Katsiroumpa, Ioannis Moisoglou, Alice G. Vassiliou, Αnastasia Kotanidou, Ioanna Dimopoulou, Edison Jahaj, Stylianos E. Orfanos, Chrysi Keskinidou and Irène Vraka. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of Emergency Medicine and Cells.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.